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NeonConvertFp16ToFp32Workload.hpp
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//
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// Copyright © 2017 Arm Ltd. All rights reserved.
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// SPDX-License-Identifier: MIT
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//
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#pragma once
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#include <
backendsCommon/Workload.hpp
>
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#include <
backendsCommon/WorkloadData.hpp
>
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#include <
neon/workloads/NeonWorkloadUtils.hpp
>
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namespace
armnn
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{
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class
NeonConvertFp16ToFp32Workload
:
public
Float16ToFloat32Workload
<ConvertFp16ToFp32QueueDescriptor>
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{
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public
:
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NeonConvertFp16ToFp32Workload
(
const
ConvertFp16ToFp32QueueDescriptor
& descriptor,
const
WorkloadInfo
&
info
);
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virtual
void
Execute
()
const override
;
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private
:
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using
TensorHandlePair = std::pair<const ITensorHandle*, ITensorHandle*>;
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std::vector<TensorHandlePair> m_TensorHandlePairs;
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};
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}
//namespace armnn
WorkloadData.hpp
armnn::NeonConvertFp16ToFp32Workload::Execute
virtual void Execute() const override
Definition:
NeonConvertFp16ToFp32Workload.cpp:25
armnn
Copyright (c) 2020 ARM Limited.
Definition:
00_introduction.dox:25
armnn::MultiTypedWorkload
Definition:
Workload.hpp:105
armnn::ConvertFp16ToFp32QueueDescriptor
Definition:
WorkloadData.hpp:449
NeonWorkloadUtils.hpp
armnn::NeonConvertFp16ToFp32Workload
Definition:
NeonConvertFp16ToFp32Workload.hpp:15
Workload.hpp
armnn::BoostLogSeverityMapping::info
armnn::NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload
NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor &descriptor, const WorkloadInfo &info)
Definition:
NeonConvertFp16ToFp32Workload.cpp:17
armnn::WorkloadInfo
Contains information about inputs and outputs to a layer.
Definition:
WorkloadInfo.hpp:16
src
backends
neon
workloads
NeonConvertFp16ToFp32Workload.hpp
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